官方服务：
资源简介：
The processed IVDD single cell expression data and metadata
应用场景：
创建时间：
2025-11-02
相关数据集
Analysis of gene expression in rheumatoid arthritis and related conditions offers insights into sex-bias, gene biotypes and co-expression patterns
The era of next-generation sequencing has mounted the foundation of many gene expression studies. In rheumatoid arthritis research, this has led to the discovery of important candidate genes which off
DataONE2019-09-23 更新40
Prediction of Disease-Related Interactions between MicroRNAs and Environmental Factors Based on a Semi-Supervised Classifier
Accumulated evidence has shown that microRNAs (miRNAs) can functionally interact with a number of environmental factors (EFs) and their interactions critically affect phenotypes and diseases. Therefor
NIAID Data Ecosystem30
Disease gene sets for all 32 diseases studied.
The protein homeostasis (proteostasis) network maintains the proteome in a functional state. Although this network has been comprehensively mapped, its perturbations in disease remain incompletely cha
Figshare2025-06-17 更新30
Exploring shared pathogenesis of multiple myeloma and osteoporosis via bioinformatic analysis
The purpose of this study is to explore the common differentially expressed genes (DEGs) between multiple myeloma (MM) and osteoporosis and the associated molecular mechanisms. We obtained the overlap
Figshare2025-02-13 更新20
